…We describe the nature of our data, annotation workflow, and provide a benchmark of current state-of-the-art algorithm performance on the DALES data set.
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…The data has been generated from thousands of state-of-the-art (magneto-)hydrodynamic and gravity-only N-body simulations from the CAMELS project.
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…Broadly, its stated aim is to serve 3 purposes: (1) to provide a first reference corpus for the community (2) to establish benchmark performances (using state-of-the-art transformer-based approaches)
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…Video recordings were postprocessed using the state-of-the-art pose estimator BodyTrack (similar to OpenPose, and included in NVIDIA Maxine-AR-SDK) to provide a sequence of 3D joint positions for each
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…Using Colosseum, we compare 4 state-of-the-art manipulation models to reveal that their success rate degrades between 30-50% across these perturbation factors.
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…playing Go, generating art, ChatGPT, etc. Such a dramatic progress raises the question: how generalizable are neural networks in solving problems that demand broad skills?
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…Additionally, the small sizes make them only marginally usable for state-of-the-art learning systems, such as deep learning.
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As CryptoPunks pioneers the innovation of non-fungible tokens (NFTs) in AI and art, the valuation mechanics of NFTs has become a trending topic.
…Our model outperforms state-of-the-art models on both zero-shot and linear probing tasks for classifying new pathology images across 13 diverse patch-level datasets of 8 different sub-pathologies and cross-modal
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…Sufficient experiments on UHRSD and widely-used SOD datasets demonstrate that our method achieves superior performance compared to the state-of-the-art methods.
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…For instance, the OmniLMM-12B model, which is a state-of-the-art open-source Language Model, has been reported to outperform GPT-4V on the Object HalBench¹.
…The dataset comprises 1344 images of muscle-tendon junctions recorded with 3 ultrasound imaging systems (Aixplorer V6, Esaote MyLab60, Telemed ArtUs), on 2 muscles (Lateral Gastrocnemius, Medial Gastrocnemius
…Participants will be provided with an extensive data set of videos with memorability annotations, related information, pre-extracted state-of-the-art visual features, and Electroencephalography (EEG) recordings
…Based on it, we then perform the first study of 11 state-of-the-art LLMs on class-level code generation. Based on our results, we have the following main findings.
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…We show that our method facilitated by this dataset establishes a strong baseline for joint hand-object pose estimation and achieves state-of-the-art accuracy for first person interaction recognition.
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…AI benchmarks for visual reasoning have driven rapid progress in recent years with state-of-the-art systems now reaching human accuracy on some of these benchmarks.
…Relevant footnotes: - The echo is found in tweets written in multiple languages, particularly in East-Asian languages of which the user based is known for heavy use of ascii art and kaomoji (McCulloch
…Meanwhile, it outperforms a few strong baselines adapted from state-of-the-art related methods.
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…Imagen: Text-to-Image Diffusion Models: Imagen is a state-of-the-art text-to-image diffusion model developed by the Google Research Brain Team. FID Score: It achieves a new state-of-the-art FID (Fréchet Inception Distance) score of 7.27 on the COCO dataset, without ever being trained on COCO.
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…Comprehension (RC) + Explicit Numerical Reasoning Reading Comprehension (RC) + Implicit Numerical Reasoning Challenges and Performance: Despite the availability of neural models, including state-of-the-art
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…Additionally, many state-of-the-art deep learning methods are limited to 2D image data, which is insufficient for 3D digital outcrops, such as hyperclouds.
…Here are more details summarising the approach: A novel network: a new state-of-the-art clip-level and video level feature aggregated network (CVA-Net) created to aggregate clip-level temporal features
…Foundation Models Evaluation: Researchers evaluated several state-of-the-art foundation models, including GPT-4V, using the OpenEQA dataset.
…With its realistic and diverse dataset, SportsPose provides a valuable resource for advancing the state-of-the-art in pose estimation in sports
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…A distinct feature of this dataset is the naturally occurring masks due to dynamic thin wires and small auxiliary props commonly used in martial arts stunts.
The Dialog State Tracking Challenges 2 & 3 (DSTC2&3) were research challenge focused on improving the state of the art in tracking the state of spoken dialog systems.
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…Support in performing linguistic processing are provided in the form of analyses created by various state-of-the art tools on the dataset texts.
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…We perform an analysis of the results to identify the state of the art in these tasks, learn from it, and build on it.
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…literaryagentmarkgottlieb.com/blog/the-books3-dataset-controversy-surrounds-unauthorized-use-in-ai-training. (2) Books3 dataset, used to train AI, contains works stolen from .... https://www.straitstimes.com/life/arts
…We make annotation guidelines for composition quality rating and train five individual raters who specialize in fine art. So for each image, we can obtain five composition scores ranging from 1 to 5.
…Widely-used OntoNotes entity category set: GPE (geo-political entity), PER (person), LOC (location), ORG (organization), FAC (facility), EVE (event), WOA (work-of-art), ANG (language), DUC (product). | 195 | | Type: Location (LOC) | 331 | 28 | 41 | | Type: Facility (FAC) | 163 | 12 | 11 | | Type: Work-of-Art
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…Preliminary virtual screening on the 21 remaining target sets with state-of-the-art orthogonal methods (2D fingerprint similarity, 3D shape similarity, molecular docking) enabled us to select 15 target
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…We hope that the SoccerTrack dataset will help advance the state of the art in multi-object tracking, especially in team sports.
…Model Evaluation: Researchers tested 16 state-of-the-art model configurations, including GPT-4-Turbo, Llama2, and Claude2.
…AI Systems Difficulty: State-of-the-art AI systems, including our strongest GPT-4 based baseline, achieve only 39% accuracy on this challenging dataset.
…To address these problems, we constructed the Multi-Label Retinal Diseases (MuReD) dataset, using images collected from three different state-of-the-art sources, i.e., ARIA, STARE, and RFMiD datasets,
…The classification was conducted with a state-of-art CNN model fine-tuned MobileNetv2.
…177.2 | 4.5 | 11,558 | Theoretical Economics,Applied Economics | | Literature | 2 | 18.8 | 158.2 | 8.3 | 10,501 | Chinese Literature,Journalism | | Art | 1 | 17.8 | 170.8 | 5.4 | 5,201 | Art | | History | 1 | 17.6 | 181.0 | 6.0 | 6,270 | History
…Research Ideas Would the latest state-of-the-art segmentation models increase the performance of detecting dust storms in satellite true-colour images?
…Biology, Astronomy, Geology, Computer Science, Engineering, Environmental Science, Neuroscience, Robotics | | History and Culture | Ancient History, Medieval History, Modern History, World History, Art
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CIC IoT Dataset 2022 This project aims to generate a state-of-the-art dataset for profiling, behavioural analysis, and vulnerability testing of different IoT devices with different protocols such as IEEE
…One of the unique features of this database is that the ECGs are annotated by both a trained cardiologist and by a state-of-the-art ECG software (GE Marquette SL12).